Analytic Tool Usage

According to the results of the 2016 survey, R is the preferred tool for 42% of analytics professionals, followed by SAS at 39% and Python at 20%. While Python’s placing may at first appear to relegate the language to Bronze Medal status, it’s the delta here that really matters.

It’s interesting to see the breakdowns of who uses which language, comparing across industry, education, work experience, and geographic lines.

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Julia Silge does some exploratory analysis on the Small World of Words project: The Small World of Words project focuses on word associations. You can try it out for yourself to see how it works, but the general idea is that the participant is presented with a word (from “telephone” to “journalist” to “yoga”) and is then […]

Sebastian Sauer shows us a few techniques for visualizing multivariate data, using ggplot2 in some cases and plotly in others: Plotting univariate (sampled) normal dataWell, that’s obvious.d %>% ggplot(aes(x = X1)) + geom_density() It gets much less obvious from there. It was also interesting learning about ggplotly, a function which translates ggplot2 visuals to plotly visuals.